FetchGithubIssues
工作流概述
这是一个包含9个节点的复杂工作流,主要用于自动化处理各种任务。
工作流源代码
{
"id": "okjjim5PVb2dZUgg",
"meta": {
"instanceId": "b229c9a129a49cc78e21e7f6e65be625850967828e8c77a8f82738e7c8461afc",
"templateCredsSetupCompleted": true
},
"name": "FetchGithubIssues",
"tags": [],
"nodes": [
{
"id": "2f3cac64-7326-471d-8f6a-1677a4ff5a6d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-540,
-560
],
"parameters": {
"color": 5,
"content": "### Get Github Issues HTTP Request
- Edit the OWNER and REPO NAME in the respective fields
- The request is configured with query parameters of *state*, *since* and *labels*"
},
"typeVersion": 1
},
{
"id": "13809408-63f3-4161-87f2-c5d950274aa9",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-560
],
"parameters": {
"color": 3,
"width": 180,
"content": "### Extract Fields
Extract fields like title, comments, created_at, etc from the github api response"
},
"typeVersion": 1
},
{
"id": "3df26230-c2b0-44d5-98da-cccbca493c8f",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-560
],
"parameters": {
"color": 3,
"width": 180,
"content": "### Filter on Fields
Filter issues based on number of comments"
},
"typeVersion": 1
},
{
"id": "819bd3f8-8d23-4299-ac1d-ae9762f944dd",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
220,
-680
],
"parameters": {
"color": 5,
"width": 200,
"height": 280,
"content": "### Send message to Telegram User
- This node is configured to send *issue title* and *url* to your user id
- Create a new telegram bot using the instructions [here](https://core.telegram.org/bots/tutorial#obtain-your-bot-token) and configure bot token in the telegram credential
- Chat ID can be your username or your username ID"
},
"typeVersion": 1
},
{
"id": "9e08036f-e082-424d-b536-349d236a40ec",
"name": "Send Message to @user",
"type": "n8n-nodes-base.telegram",
"position": [
280,
-380
],
"webhookId": "d0c6ee9e-ed0b-49fa-95cd-e483fc29ffbc",
"parameters": {
"text": "=New Issue: {{ $json.title }} [Link]({{ $json.html_url }})",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "MEwozHKykMH3flb4",
"name": "Telegram account 2"
}
},
"typeVersion": 1.2
},
{
"id": "9cf3bf31-12a6-4f3b-a1e7-69f575f801f0",
"name": "Check for comments",
"type": "n8n-nodes-base.filter",
"position": [
0,
-380
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "88ae0b8f-c586-4f01-8389-bc0e2c0473bc",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.comments }}",
"rightValue": 5
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0cfd2924-64c0-4f8b-a15b-7e619d5b21bf",
"name": "Map title, url, created, comments",
"type": "n8n-nodes-base.set",
"position": [
-220,
-380
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ebad3986-8804-428f-acbb-7c1953dbbc47",
"name": "title",
"type": "string",
"value": "={{ $json.title }}"
},
{
"id": "2daabd16-f1af-4d24-8409-51e7ba242bbb",
"name": "html_url",
"type": "string",
"value": "={{ $json.html_url }}"
},
{
"id": "7ea20a16-794c-4701-81e0-4b99fb1a9fc7",
"name": "created_at",
"type": "string",
"value": "={{ $json.created_at }}"
},
{
"id": "0a4985f9-5d80-420b-ae57-15329bf19634",
"name": "comments",
"type": "number",
"value": "={{ $json.comments }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "eacbb029-03b9-46d6-9f2e-edaab70cce10",
"name": "Run every 10 minutes",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-780,
-380
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 10
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d87f01e3-8277-4dbb-bcc0-4ca2e1c794d4",
"name": "Get Github Issues",
"type": "n8n-nodes-base.github",
"position": [
-480,
-380
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": ""
},
"resource": "repository",
"repository": {
"__rl": true,
"mode": "name",
"value": ""
},
"getRepositoryIssuesFilters": {
"since": "={{ new Date(Date.now() - 30 * 60 * 1000).toISOString() }}",
"state": "open",
"labels": "Bug"
}
},
"credentials": {
"githubApi": {
"id": "2yRBqav2uahP1pas",
"name": "GitHub account"
}
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "5bc6fb0e-face-48c3-aba4-0c53ad1e9b35",
"connections": {
"Get Github Issues": {
"main": [
[
{
"node": "Map title, url, created, comments",
"type": "main",
"index": 0
}
]
]
},
"Check for comments": {
"main": [
[
{
"node": "Send Message to @user",
"type": "main",
"index": 0
}
]
]
},
"Run every 10 minutes": {
"main": [
[
{
"node": "Get Github Issues",
"type": "main",
"index": 0
}
]
]
},
"Map title, url, created, comments": {
"main": [
[
{
"node": "Check for comments",
"type": "main",
"index": 0
}
]
]
}
}
}
功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Stickynote
- Telegram
- Filter
- Set
- Scheduletrigger
复杂度评估
配置难度:
维护难度:
扩展性:
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器(可选)
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制:
- 网络超时自动重试(最多3次)
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作